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CortexPlus

remember

Store a note in the user's CortexPlus memory so future conversations can recall it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNo
typeNoNode type, e.g. note or meeting-note.note
titleNo
contentYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
titleNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare the tool is non-read-only and non-destructive, and no contradiction exists. The description adds the persistence/recall context, but it does not disclose behavior like duplicate creation, overwrites, or side effects on existing memory nodes. Given the annotation coverage, a middle score is appropriate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One short, front-loaded sentence that states the resource, action, and intended effect without filler. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema and annotations present, return-value and safety details are not needed. Still, the description is thin on optional parameter meanings and tool-selection boundaries against memory/recall/search, leaving the agent partially under-specified for non-trivial use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 25% (only 'type' is described). The description adds minimal meaning for 'content' (a note to store) but gives no semantics for 'tags', 'title', or how 'type' related values differ. At this low coverage, the description needed to compensate and did not.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific action ('Store') and resource ('a note in the user's CortexPlus memory') with a clear purpose ('future conversations can recall it'). It is not a tautology and is distinguishable from retrieval siblings like recall, though it does not explicitly differentiate itself from sibling tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The use case is implied: use this when the user wants information persisted in memory for later recall. However, the description names no alternatives, excludes no cases, and gives no guidance for choosing between remember, memory, recall, and search, so the agent must infer boundaries.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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